Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging.
Aarne TalmanHande ÇelikkanatSami VirpiojaMarkus HeinonenJörg TiedemannPublished in: CoRR (2023)
Keyphrases
- natural language
- stochastic nature
- stochastic simulation
- reasoning under uncertainty
- inference process
- natural language processing
- natural language interface
- natural language generation
- bayesian networks
- sum product
- probabilistic inference
- belief networks
- belief functions
- stochastic optimization
- machine learning
- evidential reasoning
- tree grammars
- robust optimization
- artificial intelligence
- probabilistic reasoning
- question answering
- knowledge representation
- possibility theory
- inference engine
- semantic analysis
- bayesian inference
- uncertain data
- monte carlo
- inference mechanism
- graphical models
- information extraction
- chance constraints
- hidden markov models
- expert systems